If you have any questions about the event, please contact us at soesweb@liverpool.ac.uk.
Geographic Data Science SchoolInfo Location Contact More Info Event Information
DescriptionJoin us in vibrant Liverpool for 5 days of intensive and collaborative training across many facets of geographic and spatial data science. About the GDSL The Geographic Data Science Lab is a premier research centre working at the intersection of geography and data science. Multidisciplinary in nature, research in the lab spans across econometrics, spatial analysis and statistics, population science, machine learning, urban mobility, and computer science. The lab and its members are involved in doctoral training, public speaking series, open and accessible data and research; they engage in broader policy discussions with the community, contributing to academic and non-academic research-based best practices. Candidate Background and Requirements Applicants should have some graduate training in quantitative geography or relative discipline (economics, computer science, engineering, etc.). Basic working knowledge of Python or other appropriate coding languages is strongly recommended. The Course material will be provided. Students are required to bring their laptop; PCs will not be provided.
Event Location
ContactMore InformationAbout the GDSL The Geographic Data Science Lab is a premier research centre working at the intersection of geography and data science. Multidisciplinary in nature, research in the lab spans across econometrics, spatial analysis and statistics, population science, machine learning, urban mobility, and computer science. The lab and its members are involved in doctoral training, public speaking series, open and accessible data and research; they engage in broader policy discussions with the community, contributing to academic and non-academic research-based best practices. Candidate Background and Requirements Applicants should have some graduate training in quantitative geography or relative discipline (economics, computer science, engineering, etc.). Basic working knowledge of Python or other appropriate coding languages is strongly recommended. The Course material will be provided. Students are required to bring their laptop; PCs will not be provided. Timeline
8th – 12th September 2025: Summer School. * Provided that the candidate fits the school the requirements. | ||||||||||||||||||||||||||||||||||||||||||